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MueLu_LineDetectionFactory_def.hpp
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46#ifndef MUELU_LINEDETECTIONFACTORY_DEF_HPP
47#define MUELU_LINEDETECTIONFACTORY_DEF_HPP
48
49#include <Xpetra_Matrix.hpp>
50//#include <Xpetra_MatrixFactory.hpp>
51
53
54#include "MueLu_Level.hpp"
55#include "MueLu_MasterList.hpp"
56#include "MueLu_Monitor.hpp"
57
58namespace MueLu {
59
60 template <class Scalar, class LocalOrdinal, class GlobalOrdinal, class Node>
62 RCP<ParameterList> validParamList = rcp(new ParameterList());
63
64#define SET_VALID_ENTRY(name) validParamList->setEntry(name, MasterList::getEntry(name))
65 SET_VALID_ENTRY("linedetection: orientation");
66 SET_VALID_ENTRY("linedetection: num layers");
67#undef SET_VALID_ENTRY
68
69 validParamList->set< RCP<const FactoryBase> >("A", Teuchos::null, "Generating factory of the matrix A");
70 validParamList->set< RCP<const FactoryBase> >("Coordinates", Teuchos::null, "Generating factory for coorindates");
71
72 return validParamList;
73 }
74
75 template <class Scalar, class LocalOrdinal, class GlobalOrdinal, class Node>
77 Input(currentLevel, "A");
78
79 // The factory needs the information about the number of z-layers. While this information is
80 // provided by the user for the finest level, the factory itself is responsible to provide the
81 // corresponding information on the coarser levels. Since a factory cannot be dependent on itself
82 // we use the NoFactory class as generator class, but remove the UserData keep flag, such that
83 // "NumZLayers" is part of the request/release mechanism.
84 // Please note, that this prevents us from having several (independent) CoarsePFactory instances!
85 // TODO: allow factory to dependent on self-generated data for TwoLevelFactories -> introduce ExpertRequest/Release in Level
86 currentLevel.DeclareInput("NumZLayers", NoFactory::get(), this);
87 currentLevel.RemoveKeepFlag("NumZLayers", NoFactory::get(), MueLu::UserData);
88 }
89
90 template <class Scalar, class LocalOrdinal, class GlobalOrdinal, class Node>
92 FactoryMonitor m(*this, "Line detection (Ray style)", currentLevel);
93
94 LO NumZDir = 0;
95 RCP<CoordinateMultiVector> fineCoords;
96 ArrayRCP<coordinate_type> x, y, z;
97 coordinate_type *xptr = NULL, *yptr = NULL, *zptr = NULL;
98
99 // obtain general variables
100 RCP<Matrix> A = Get< RCP<Matrix> > (currentLevel, "A");
101 LO BlkSize = A->GetFixedBlockSize();
102 RCP<const Map> rowMap = A->getRowMap();
103 LO Ndofs = rowMap->getLocalNumElements();
104 LO Nnodes = Ndofs/BlkSize;
105
106 // collect information provided by user
107 const ParameterList& pL = GetParameterList();
108 const std::string lineOrientation = pL.get<std::string>("linedetection: orientation");
109
110 // interpret "line orientation" parameter provided by the user on the finest level
111 if(currentLevel.GetLevelID() == 0) {
112 if(lineOrientation=="vertical")
114 else if (lineOrientation=="horizontal")
116 else if (lineOrientation=="coordinates")
118 else
119 TEUCHOS_TEST_FOR_EXCEPTION(false, Exceptions::RuntimeError, "LineDetectionFactory: The parameter 'semicoarsen: line orientation' must be either 'vertical', 'horizontal' or 'coordinates'.");
120 }
121
122 //TEUCHOS_TEST_FOR_EXCEPTION(Zorientation_!=VERTICAL, Exceptions::RuntimeError, "LineDetectionFactory: The 'horizontal' or 'coordinates' have not been tested!!!. Please remove this exception check and carefully test these modes!");
123
124 // obtain number of z layers (variable over levels)
125 // This information is user-provided on the finest level and transferred to the coarser
126 // levels by the SemiCoarsenPFactor using the internal "NumZLayers" variable.
127 if(currentLevel.GetLevelID() == 0) {
128 if(currentLevel.IsAvailable("NumZLayers", NoFactory::get())) {
129 NumZDir = currentLevel.Get<LO>("NumZLayers", NoFactory::get()); //obtain info
130 GetOStream(Runtime1) << "Number of layers for line detection: " << NumZDir << " (information from Level(0))" << std::endl;
131 } else {
132 // check whether user provides information or it can be reconstructed from coordinates
133 NumZDir = pL.get<LO>("linedetection: num layers");
134 if(NumZDir == -1) {
135 bool CoordsAvail = currentLevel.IsAvailable("Coordinates");
136
137 if (CoordsAvail == true) {
138 // try to reconstruct the number of layers from coordinates
139 fineCoords = Get< RCP<CoordinateMultiVector> > (currentLevel, "Coordinates");
140 TEUCHOS_TEST_FOR_EXCEPTION(fineCoords->getNumVectors() != 3, Exceptions::RuntimeError, "Three coordinates arrays must be supplied if line detection orientation not given.");
141 x = fineCoords->getDataNonConst(0);
142 y = fineCoords->getDataNonConst(1);
143 z = fineCoords->getDataNonConst(2);
144 xptr = x.getRawPtr();
145 yptr = y.getRawPtr();
146 zptr = z.getRawPtr();
147
148 LO NumCoords = Ndofs/BlkSize;
149
150 /* sort coordinates so that we can order things according to lines */
151 Teuchos::ArrayRCP<LO> TOrigLoc= Teuchos::arcp<LO>(NumCoords); LO* OrigLoc= TOrigLoc.getRawPtr();
152 Teuchos::ArrayRCP<coordinate_type> Txtemp = Teuchos::arcp<coordinate_type>(NumCoords); coordinate_type* xtemp = Txtemp.getRawPtr();
153 Teuchos::ArrayRCP<coordinate_type> Tytemp = Teuchos::arcp<coordinate_type>(NumCoords); coordinate_type* ytemp = Tytemp.getRawPtr();
154 Teuchos::ArrayRCP<coordinate_type> Tztemp = Teuchos::arcp<coordinate_type>(NumCoords); coordinate_type* ztemp = Tztemp.getRawPtr();
155
156 // sort coordinates in {x,y,z}vals (returned in {x,y,z}temp) so that we can order things according to lines
157 // switch x and y coordinates for semi-coarsening...
158 sort_coordinates(NumCoords, OrigLoc, xptr, yptr, zptr, xtemp, ytemp, ztemp, true);
159
160 /* go through each vertical line and populate blockIndices so all */
161 /* dofs within a PDE within a vertical line correspond to one block.*/
162 LO NumBlocks = 0;
163 LO NumNodesPerVertLine = 0;
164 LO index = 0;
165
166 while ( index < NumCoords ) {
167 coordinate_type xfirst = xtemp[index]; coordinate_type yfirst = ytemp[index];
168 LO next = index+1;
169 while ( (next != NumCoords) && (xtemp[next] == xfirst) &&
170 (ytemp[next] == yfirst))
171 next++;
172 if (NumBlocks == 0) {
173 NumNodesPerVertLine = next-index;
174 }
175 // the number of vertical lines must be the same on all processors
176 // TAW: Sep 14 2015: or zero as we allow "empty" processors
177 //TEUCHOS_TEST_FOR_EXCEPTION(next-index != NumNodesPerVertLine,Exceptions::RuntimeError, "Error code only works for constant block size now!!!\n");
178 NumBlocks++;
179 index = next;
180 }
181
182 NumZDir = NumNodesPerVertLine;
183 GetOStream(Runtime1) << "Number of layers for line detection: " << NumZDir << " (information reconstructed from provided node coordinates)" << std::endl;
184 } else {
185 TEUCHOS_TEST_FOR_EXCEPTION(false, Exceptions::RuntimeError, "LineDetectionFactory: BuildP: User has to provide valid number of layers (e.g. using the 'line detection: num layers' parameter).");
186 }
187 } else {
188 GetOStream(Runtime1) << "Number of layers for line detection: " << NumZDir << " (information provided by user through 'line detection: num layers')" << std::endl;
189 }
190 } // end else (user provides information or can be reconstructed) on finest level
191 } else {
192 // coarse level information
193 // TODO get rid of NoFactory here and use SemiCoarsenPFactory as source of NumZLayers instead.
194 if(currentLevel.IsAvailable("NumZLayers", NoFactory::get())) {
195 NumZDir = currentLevel.Get<LO>("NumZLayers", NoFactory::get()); //obtain info
196 GetOStream(Runtime1) << "Number of layers for line detection: " << NumZDir << std::endl;
197 } else {
198 TEUCHOS_TEST_FOR_EXCEPTION(false, Exceptions::RuntimeError, "LineDetectionFactory: BuildP: No NumZLayers variable found. This cannot be.");
199 }
200 }
201
202 // plausibility check and further variable collection
203 if (Zorientation_ == GRID_SUPPLIED) { // On finest level, fetch user-provided coordinates if available...
204 bool CoordsAvail = currentLevel.IsAvailable("Coordinates");
205
206 if (CoordsAvail == false) {
207 if (currentLevel.GetLevelID() == 0)
208 throw Exceptions::RuntimeError("Coordinates must be supplied if line detection orientation not given.");
209 else
210 throw Exceptions::RuntimeError("Coordinates not generated by previous invocation of LineDetectionFactory's BuildP() method.");
211 }
212 fineCoords = Get< RCP<CoordinateMultiVector> > (currentLevel, "Coordinates");
213 TEUCHOS_TEST_FOR_EXCEPTION(fineCoords->getNumVectors() != 3, Exceptions::RuntimeError, "Three coordinates arrays must be supplied if line detection orientation not given.");
214 x = fineCoords->getDataNonConst(0);
215 y = fineCoords->getDataNonConst(1);
216 z = fineCoords->getDataNonConst(2);
217 xptr = x.getRawPtr();
218 yptr = y.getRawPtr();
219 zptr = z.getRawPtr();
220 }
221
222 // perform line detection
223 if (NumZDir > 0) {
224 LO *LayerId, *VertLineId;
225 Teuchos::ArrayRCP<LO> TLayerId = Teuchos::arcp<LO>(Nnodes); LayerId = TLayerId.getRawPtr();
226 Teuchos::ArrayRCP<LO> TVertLineId= Teuchos::arcp<LO>(Nnodes); VertLineId = TVertLineId.getRawPtr();
227
228 NumZDir = ML_compute_line_info(LayerId, VertLineId, Ndofs, BlkSize,
229 Zorientation_, NumZDir,xptr,yptr,zptr, *(rowMap->getComm()));
230 //it is NumZDir=NCLayers*NVertLines*DofsPerNode;
231
232 // store output data on current level
233 // The line detection data is used by the SemiCoarsenPFactory and the line smoothers in Ifpack/Ifpack2
234 Set(currentLevel, "CoarseNumZLayers", NumZDir);
235 Set(currentLevel, "LineDetection_Layers", TLayerId);
236 Set(currentLevel, "LineDetection_VertLineIds", TVertLineId);
237 } else {
238 Teuchos::ArrayRCP<LO> TLayerId = Teuchos::arcp<LO>(0);
239 Teuchos::ArrayRCP<LO> TVertLineId = Teuchos::arcp<LO>(0);
240 Teuchos::ArrayRCP<LO> TVertLineIdSmoo= Teuchos::arcp<LO>(0);
241
242 // store output data on current level
243 // The line detection data is used by the SemiCoarsenPFactory and the line smoothers in Ifpack/Ifpack2
244 Set(currentLevel, "CoarseNumZLayers", NumZDir);
245 Set(currentLevel, "LineDetection_Layers", TLayerId);
246 Set(currentLevel, "LineDetection_VertLineIds", TVertLineId);
247 }
248
249 // automatically switch to vertical mode on the coarser levels
252 }
253
254 template <class Scalar,class LocalOrdinal, class GlobalOrdinal, class Node>
255 LocalOrdinal LineDetectionFactory<Scalar, LocalOrdinal, GlobalOrdinal, Node>::ML_compute_line_info(LocalOrdinal LayerId[], LocalOrdinal VertLineId[], LocalOrdinal Ndof, LocalOrdinal DofsPerNode, LocalOrdinal MeshNumbering, LocalOrdinal NumNodesPerVertLine, typename Teuchos::ScalarTraits<Scalar>::coordinateType *xvals, typename Teuchos::ScalarTraits<Scalar>::coordinateType *yvals, typename Teuchos::ScalarTraits<Scalar>::coordinateType *zvals, const Teuchos::Comm<int>& /* comm */) const {
256
257 LO Nnodes, NVertLines, MyNode;
258 LO NumCoords, next; //, subindex, subnext;
259 coordinate_type xfirst, yfirst;
260 coordinate_type *xtemp, *ytemp, *ztemp;
261 LO *OrigLoc;
262 LO i,j,count;
263 LO RetVal;
264
265 RetVal = 0;
266 if ((MeshNumbering != VERTICAL) && (MeshNumbering != HORIZONTAL)) {
267 if ( (xvals == NULL) || (yvals == NULL) || (zvals == NULL)) RetVal = -1;
268 }
269 else {
270 if (NumNodesPerVertLine == -1) RetVal = -4;
271 if ( ((Ndof/DofsPerNode)%NumNodesPerVertLine) != 0) RetVal = -3;
272 }
273 if ( (Ndof%DofsPerNode) != 0) RetVal = -2;
274
275 TEUCHOS_TEST_FOR_EXCEPTION(RetVal == -1, Exceptions::RuntimeError, "Not semicoarsening as no mesh numbering information or coordinates are given\n");
276 TEUCHOS_TEST_FOR_EXCEPTION(RetVal == -4, Exceptions::RuntimeError, "Not semicoarsening as the number of z nodes is not given.\n");
277 TEUCHOS_TEST_FOR_EXCEPTION(RetVal == -3, Exceptions::RuntimeError, "Not semicoarsening as the total number of nodes is not evenly divisible by the number of z direction nodes .\n");
278 TEUCHOS_TEST_FOR_EXCEPTION(RetVal == -2, Exceptions::RuntimeError, "Not semicoarsening as something is off with the number of degrees-of-freedom per node.\n");
279
280 Nnodes = Ndof/DofsPerNode;
281 for (MyNode = 0; MyNode < Nnodes; MyNode++) VertLineId[MyNode] = -1;
282 for (MyNode = 0; MyNode < Nnodes; MyNode++) LayerId[MyNode] = -1;
283
284 if (MeshNumbering == VERTICAL) {
285 for (MyNode = 0; MyNode < Nnodes; MyNode++) {
286 LayerId[MyNode]= MyNode%NumNodesPerVertLine;
287 VertLineId[MyNode]= (MyNode- LayerId[MyNode])/NumNodesPerVertLine;
288 }
289 }
290 else if (MeshNumbering == HORIZONTAL) {
291 NVertLines = Nnodes/NumNodesPerVertLine;
292 for (MyNode = 0; MyNode < Nnodes; MyNode++) {
293 VertLineId[MyNode] = MyNode%NVertLines;
294 LayerId[MyNode] = (MyNode- VertLineId[MyNode])/NVertLines;
295 }
296 }
297 else {
298 // coordinates mode: we distinguish between vertical line numbering for semi-coarsening and line smoothing
299 NumCoords = Ndof/DofsPerNode;
300
301 // reserve temporary memory
302 Teuchos::ArrayRCP<LO> TOrigLoc= Teuchos::arcp<LO>(NumCoords); OrigLoc= TOrigLoc.getRawPtr();
303 Teuchos::ArrayRCP<coordinate_type> Txtemp = Teuchos::arcp<coordinate_type>(NumCoords); xtemp = Txtemp.getRawPtr();
304 Teuchos::ArrayRCP<coordinate_type> Tytemp = Teuchos::arcp<coordinate_type>(NumCoords); ytemp = Tytemp.getRawPtr();
305 Teuchos::ArrayRCP<coordinate_type> Tztemp = Teuchos::arcp<coordinate_type>(NumCoords); ztemp = Tztemp.getRawPtr();
306
307 // build vertical line info for semi-coarsening
308
309 // sort coordinates in {x,y,z}vals (returned in {x,y,z}temp) so that we can order things according to lines
310 // switch x and y coordinates for semi-coarsening...
311 sort_coordinates(NumCoords, OrigLoc, xvals, yvals, zvals, xtemp, ytemp, ztemp, /*true*/ true);
312
313 LO NumBlocks = 0;
314 LO index = 0;
315
316 while ( index < NumCoords ) {
317 xfirst = xtemp[index]; yfirst = ytemp[index];
318 next = index+1;
319 while ( (next != NumCoords) && (xtemp[next] == xfirst) &&
320 (ytemp[next] == yfirst))
321 next++;
322 if (NumBlocks == 0) {
323 NumNodesPerVertLine = next-index;
324 }
325 // The number of vertical lines must be the same on all processors
326 // TAW: Sep 14, 2015: or zero as we allow for empty processors.
327 //TEUCHOS_TEST_FOR_EXCEPTION(next-index != NumNodesPerVertLine,Exceptions::RuntimeError, "Error code only works for constant block size now!!!\n");
328 count = 0;
329 for (j= index; j < next; j++) {
330 VertLineId[OrigLoc[j]] = NumBlocks;
331 LayerId[OrigLoc[j]] = count++;
332 }
333 NumBlocks++;
334 index = next;
335 }
336 }
337
338 /* check that everyone was assigned */
339
340 for (i = 0; i < Nnodes; i++) {
341 if (VertLineId[i] == -1) {
342 GetOStream(Warnings1) << "Warning: did not assign " << i << " to a vertical line?????\n" << std::endl;
343 }
344 if (LayerId[i] == -1) {
345 GetOStream(Warnings1) << "Warning: did not assign " << i << " to a Layer?????\n" << std::endl;
346 }
347 }
348
349 // TAW: Sep 14 2015: relax plausibility checks as we allow for empty processors
350 //MueLu_maxAll(&comm, NumNodesPerVertLine, i);
351 //if (NumNodesPerVertLine == -1) NumNodesPerVertLine = i;
352 //TEUCHOS_TEST_FOR_EXCEPTION(NumNodesPerVertLine != i,Exceptions::RuntimeError, "Different processors have different z direction line lengths?\n");
353
354 return NumNodesPerVertLine;
355 }
356
357 /* Private member function to sort coordinates in arrays. This is an expert routine. Do not use or change.*/
358 template <class Scalar,class LocalOrdinal, class GlobalOrdinal, class Node>
360 typename Teuchos::ScalarTraits<Scalar>::coordinateType* xvals,
361 typename Teuchos::ScalarTraits<Scalar>::coordinateType* yvals,
362 typename Teuchos::ScalarTraits<Scalar>::coordinateType* zvals,
363 typename Teuchos::ScalarTraits<Scalar>::coordinateType* xtemp,
364 typename Teuchos::ScalarTraits<Scalar>::coordinateType* ytemp,
365 typename Teuchos::ScalarTraits<Scalar>::coordinateType* ztemp,
366 bool flipXY) const {
367
368 if( flipXY == false ) { // for line-smoothing
369 for (LO i = 0; i < numCoords; i++) xtemp[i]= xvals[i];
370 } else { // for semi-coarsening
371 for (LO i = 0; i < numCoords; i++) xtemp[i]= yvals[i];
372 }
373 for (LO i = 0; i < numCoords; i++) OrigLoc[i]= i;
374
375 ML_az_dsort2(xtemp,numCoords,OrigLoc);
376 if( flipXY == false ) { // for line-smoothing
377 for (LO i = 0; i < numCoords; i++) ytemp[i]= yvals[OrigLoc[i]];
378 } else {
379 for (LO i = 0; i < numCoords; i++) ytemp[i]= xvals[OrigLoc[i]];
380 }
381
382 LO index = 0;
383
384 while ( index < numCoords ) {
385 coordinate_type xfirst = xtemp[index];
386 LO next = index+1;
387 while ( (next != numCoords) && (xtemp[next] == xfirst))
388 next++;
389 ML_az_dsort2(&(ytemp[index]),next-index,&(OrigLoc[index]));
390 for (LO i = index; i < next; i++) ztemp[i]= zvals[OrigLoc[i]];
391 /* One final sort so that the ztemps are in order */
392 LO subindex = index;
393 while (subindex != next) {
394 coordinate_type yfirst = ytemp[subindex];
395 LO subnext = subindex+1;
396 while ( (subnext != next) && (ytemp[subnext] == yfirst)) subnext++;
397 ML_az_dsort2(&(ztemp[subindex]),subnext-subindex,&(OrigLoc[subindex]));
398 subindex = subnext;
399 }
400 index = next;
401 }
402
403 }
404
405 /* Sort coordinates and additional array accordingly (if provided). This is an expert routine borrowed from ML. Do not change.*/
406 template <class Scalar,class LocalOrdinal, class GlobalOrdinal, class Node>
407 void LineDetectionFactory<Scalar, LocalOrdinal, GlobalOrdinal, Node>::ML_az_dsort2(typename Teuchos::ScalarTraits<Scalar>::coordinateType dlist[], LocalOrdinal N, LocalOrdinal list2[]) const {
408 LO l, r, j, i, flag;
409 LO RR2;
410 coordinate_type dRR, dK;
411
412 // note: we use that routine for sorting coordinates only. No complex coordinates are assumed...
413 typedef Teuchos::ScalarTraits<SC> STS;
414
415 if (N <= 1) return;
416
417 l = N / 2 + 1;
418 r = N - 1;
419 l = l - 1;
420 dRR = dlist[l - 1];
421 dK = dlist[l - 1];
422
423 if (list2 != NULL) {
424 RR2 = list2[l - 1];
425 while (r != 0) {
426 j = l;
427 flag = 1;
428
429 while (flag == 1) {
430 i = j;
431 j = j + j;
432
433 if (j > r + 1)
434 flag = 0;
435 else {
436 if (j < r + 1)
437 if (STS::real(dlist[j]) > STS::real(dlist[j - 1])) j = j + 1;
438
439 if (STS::real(dlist[j - 1]) > STS::real(dK)) {
440 dlist[ i - 1] = dlist[ j - 1];
441 list2[i - 1] = list2[j - 1];
442 }
443 else {
444 flag = 0;
445 }
446 }
447 }
448 dlist[ i - 1] = dRR;
449 list2[i - 1] = RR2;
450
451 if (l == 1) {
452 dRR = dlist [r];
453 RR2 = list2[r];
454 dK = dlist[r];
455 dlist[r ] = dlist[0];
456 list2[r] = list2[0];
457 r = r - 1;
458 }
459 else {
460 l = l - 1;
461 dRR = dlist[ l - 1];
462 RR2 = list2[l - 1];
463 dK = dlist[l - 1];
464 }
465 }
466 dlist[ 0] = dRR;
467 list2[0] = RR2;
468 }
469 else {
470 while (r != 0) {
471 j = l;
472 flag = 1;
473 while (flag == 1) {
474 i = j;
475 j = j + j;
476 if (j > r + 1)
477 flag = 0;
478 else {
479 if (j < r + 1)
480 if (STS::real(dlist[j]) > STS::real(dlist[j - 1])) j = j + 1;
481 if (STS::real(dlist[j - 1]) > STS::real(dK)) {
482 dlist[ i - 1] = dlist[ j - 1];
483 }
484 else {
485 flag = 0;
486 }
487 }
488 }
489 dlist[ i - 1] = dRR;
490 if (l == 1) {
491 dRR = dlist [r];
492 dK = dlist[r];
493 dlist[r ] = dlist[0];
494 r = r - 1;
495 }
496 else {
497 l = l - 1;
498 dRR = dlist[ l - 1];
499 dK = dlist[l - 1];
500 }
501 }
502 dlist[ 0] = dRR;
503 }
504
505 }
506} //namespace MueLu
507
508#endif // MUELU_LINEDETECTIONFACTORY_DEF_HPP
#define SET_VALID_ENTRY(name)
MueLu::DefaultLocalOrdinal LocalOrdinal
Exception throws to report errors in the internal logical of the program.
Timer to be used in factories. Similar to Monitor but with additional timers.
void Input(Level &level, const std::string &varName) const
T Get(Level &level, const std::string &varName) const
void Set(Level &level, const std::string &varName, const T &data) const
Class that holds all level-specific information.
bool IsAvailable(const std::string &ename, const FactoryBase *factory=NoFactory::get()) const
Test whether a need's value has been saved.
void DeclareInput(const std::string &ename, const FactoryBase *factory, const FactoryBase *requestedBy=NoFactory::get())
Callback from FactoryBase::CallDeclareInput() and FactoryBase::DeclareInput().
void RemoveKeepFlag(const std::string &ename, const FactoryBase *factory, KeepType keep=MueLu::All)
int GetLevelID() const
Return level number.
T & Get(const std::string &ename, const FactoryBase *factory=NoFactory::get())
Get data without decrementing associated storage counter (i.e., read-only access)....
RCP< const ParameterList > GetValidParameterList() const
Return a const parameter list of valid parameters that setParameterList() will accept.
void sort_coordinates(LO numCoords, LO *OrigLoc, coordinate_type *xvals, coordinate_type *yvals, coordinate_type *zvals, coordinate_type *xtemp, coordinate_type *ytemp, coordinate_type *ztemp, bool flipXY=false) const
void ML_az_dsort2(coordinate_type dlist[], LO N, LO list2[]) const
void DeclareInput(Level &currentLevel) const
Input.
typename Teuchos::ScalarTraits< SC >::coordinateType coordinate_type
void Build(Level &currentLevel) const
Build method.
LO ML_compute_line_info(LO LayerId[], LO VertLineId[], LO Ndof, LO DofsPerNode, LO MeshNumbering, LO NumNodesPerVertLine, coordinate_type *xvals, coordinate_type *yvals, coordinate_type *zvals, const Teuchos::Comm< int > &comm) const
static const NoFactory * get()
virtual const Teuchos::ParameterList & GetParameterList() const
Teuchos::FancyOStream & GetOStream(MsgType type, int thisProcRankOnly=0) const
Get an output stream for outputting the input message type.
Namespace for MueLu classes and methods.
@ UserData
User data are always kept. This flag is set automatically when Level::Set("data", data) is used....
@ Runtime1
Description of what is happening (more verbose).
@ Warnings1
Additional warnings.